Identifications and removal of diurnal and semidiurnal variations in radon time series data of Hsinhua monitoring station in SW Taiwan using singular spectrum analysis

Kumar, Arvind; Walia, Vivek; Arora, B. R.; Yang, Tsanyao Frank; Lin, Sheng; Fu, Ching‐Chou; Chen, Cheng-Hong; Wen, Kuo‐Liang

doi:10.1007/s11069-015-1844-1

Cited by 35 publications

(18 citation statements)

References 22 publications

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“…From the literature, it has been found that the various criteria for selection of the earthquakes had been adopted by different studies (Fleischer 1981;Virk 1996; Martinelli and Dadomo 2017). However, from previous studies in Taiwan (Yang et al 2005b;Fu et al 2009;Walia et al 2009Walia et al , 2013Kumar et al 2015) the earthquake selection criteria has been defined as: earthquakes having local intensity ≥ 1 at the monitoring stations with epicentral distance (R) < 100 km having D/R ratio ≥ 1 with focal depth < 40 km. It is fitted well in different fault zones in Taiwan and used in the present study.…”

Section: Methodsmentioning

confidence: 99%

Integrated radon monitoring in Tatun Volcanic Areas of Northern Taiwan

Kumar¹,

Walia²,

Sung³

et al. 2018

Terr. Atmos. Ocean. Sci.

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Taiwan is highly active tectonically and intensively faulted resulting in occurrence of number of big earthquakes in the region. In the northern part of Taiwan Island, a group of volcanoes are distributed. These volcanoes are known as the Tatun volcano group (TVG). During the past decade, volcanological, seismological, and geochemical observations have shown that Tatun Volcano Group has potential for future eruptive activity. In the present study solid state nuclear track detectors (SSNTDs) technique has been used for the measurement of radon-thoron concentrations in soil gas for volcanic and seismic study in Taiwan. The semiautomatic track count using a Nikon digital camera coupled to a PC and employing software "SCI-ON" has been checked and tested by comparing the results with manual counting. In order to study radon-thoron in volcanic areas, pre-calibrated radon-thoron discriminators with LR films has been installed in Hsiaoyoukeng (SYK), Dayoukeng (DYK), Bayen (BY), and Gungtzeping (GTP) of Tatun Volcanic area in a hole (about 50 cm depths) having different temperatures for a defined period (bi-weekly to monthly). Radon behaviour observed is different at above said sites. We have also monitor radon using SSNTDs along with active detectors (RAD 7) in Bayen (BY) area of Tatun for comparative study. The observations have shown potential precursory signals for some earthquakes that occurred during the observation period having an epicenter in and around the TVG. Our monitoring stations in TVG area are sensitive to the events within a distance of 60 km.

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Section: Methodsmentioning

confidence: 99%

Integrated radon monitoring in Tatun Volcanic Areas of Northern Taiwan

Kumar¹,

Walia²,

Sung³

et al. 2018

Terr. Atmos. Ocean. Sci.

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“…Radon values almost reached +2σ in standard deviation on 6 January 2016. The noted radon increase is long term which usually not the case in previous data reported elsewhere Walia et al (2013) and Kumar et al (2015). The HH monitoring station is the nearest among the established stations to the epicenter of Meinong earthquake.…”

Section: Resultsmentioning

confidence: 57%

“…Radon monitoring for the earthquake precursory studies at the established HH monitoring station along the Hsinhua Fault in Tainan area has been done continuously since November 2006 (Walia et al 2009b(Walia et al , 2013Kumar et al 2015). Radon time series in the time window from 15 December 2015 -15 March 2016 at HH station is shown in Fig.…”

Section: Resultsmentioning

confidence: 99%

“…During the last few decades, studies have shown useful data in the field of seismogeochemistry interpreted as geochemical precursory signals for impending earthquakes (Heinicke et al 1992;Igarashi et al 1995;Virk et al 2001;Steinitz et al 2003;Yang et al 2005Yang et al , 2006Zmazek et al 2005;Kumar et al 2009Kumar et al , 2015Walia et al 2009a;Fu et al 2015). Despite a full operative "earthquake prediction/early alarm" routine is still far to be accepted.…”

Section: Introductionmentioning

confidence: 99%

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Preseismic anomalies in soil-gas radon associated with 2016 M 6.6 Meinong earthquake, Southern Taiwan

Fu¹,

Walia²,

Yang³

et al. 2017

Terr. Atmos. Ocean. Sci.

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Taiwan is tectonically situated in a terrain resulting from the oblique collision between the Philippine Sea plate and the continental margin of the Asiatic plate, with a continuous stress causing the density of strong-moderate earthquakes and regional active faults. The continuous time series of soil radon for earthquake studies have been recorded and some significant variations associated with strong earthquakes have been observed. Earthquake prediction is not still operative but these correlations should be added to the literature about seismo-geochemical transients associated to strong earthquakes. Rain-pore pressure related variations, crustal weakness at the studied faults system is consistent with the simultaneous radon anomalies observed. During the observations, a significant increase of soil radon concentrations was observed at Chunglun-T1 (CL-T1), Hsinhua (HH), Pingtung (PT), and Chihshan (CS) stations approximately two weeks before the Meinong earthquake (M L = 6.6, 6 February 2016) in Southern Taiwan. The precursory changes in a multi-stations array may reflect the preparation stage of a large earthquake. Precursory signals are observed simultaneously and it can apply certain algorithms the approximate location and magnitude of the impending earthquake.

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“…This method has become a widely used tool in various fields, such as climatology, oceanology, financial mathematics, and geophysics (e.g. Ghil et al, 2002;Korotchenko et al, 2014;Hassani and Zhigljavsky, 2009;Choliy, 2014or Kumar et al, 2015. In geodesy, Rangelova et al (2010) used the Multi-channel Singular Spectrum Analysis (MSSA) method, to study the water mass changes in GRACE monthly data, and modelled the glacial isostatic adjustment (GIA) signal.…”

Section: Singular Spectrum Analysismentioning

confidence: 99%

Investigation of time_changeable seasonal components in the GPS height time series: A case study for Central Europe

Gruszczyńska¹

2016

Acta Geodynamica Et Geomaterialia

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Nowadays, beyond the dispute we should take into account the time-varying parameters of seasonals in the GPS-derived position time series. Either real geophysical effects or systemspecified artefacts can introduce non-sinusoidal changes. For this study, we used 18 daily position time series from Central European stations provided by the Jet Propulsion Laboratory (JPL) processed in the GIPSY-OASIS software in a Precise Point Positioning (PPP) mode. We tested two different approaches to subtract the seasonal signals: Least-Squares Estimation (LSE) and Singular Spectrum Analysis (SSA). The SSA approach is suitable for all (stationary and nonstationary) time series, without prior knowledge about the data characteristics, which is an undisputable advantage. We extracted periodicities from GPS position time series, and demonstrated the usefulness of the SSA approach on the example of the vertical component. We showed, that the reassembled signal, containing only the first four Reconstructed Components, has a larger correlation coefficient than LSE-extracted signals, with respect to the original time series. Moreover, using the Akaike Information Criterion and Fisher-Snedecor test we tested optimum length of the sliding window and significance of the obtained RCs, respectively. ARTICLE INFO

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Identifications and removal of diurnal and semidiurnal variations in radon time series data of Hsinhua monitoring station in SW Taiwan using singular spectrum analysis

Cited by 35 publications

References 22 publications

Integrated radon monitoring in Tatun Volcanic Areas of Northern Taiwan

Integrated radon monitoring in Tatun Volcanic Areas of Northern Taiwan

Preseismic anomalies in soil-gas radon associated with 2016 M 6.6 Meinong earthquake, Southern Taiwan

Investigation of time_changeable seasonal components in the GPS height time series: A case study for Central Europe

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